Ciprian M. Crainiceanu

16.2k citations
218 papers · 10.9k indexed · 1 hit paper · h-index 54
Topics
Statistical Methods and Inference (45 papers)Multiple Sclerosis Research Studies (28 papers)Physical Activity and Health (25 papers)
Journals
CirculationSHILAP Revista de lepidopterologíaJournal of the American Statistical Association

In The Last Decade

Ciprian M. Crainiceanu

212 papers receiving 10.6k citations

Hit Papers

Measurement Error in Nonlinear Models200620262012201920064008001.2k

Peers

Ciprian M. Crainiceanu
Comparison fields: 5 of 202
  • Statistics and Probability 2.7k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Pathology and Forensic Medicine 1.3k
  • Health, Toxicology and Mutagenesis 1.2k
  • Cognitive Neuroscience 1.1k
Replace Peter C. O’Brien with:
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Ciprian M. Crainiceanu relative to Peter C. O’Brien United States Peter C. O’Brien's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ciprian M. Crainiceanu

Since Specialization
Citations

This map shows the geographic impact of Ciprian M. Crainiceanu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ciprian M. Crainiceanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ciprian M. Crainiceanu more than expected).

Fields of papers citing papers by Ciprian M. Crainiceanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ciprian M. Crainiceanu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ciprian M. Crainiceanu. The network helps show where Ciprian M. Crainiceanu may publish in the future.

Co-authorship network of co-authors of Ciprian M. Crainiceanu

This figure shows the co-authorship network connecting the top 25 collaborators of Ciprian M. Crainiceanu. A scholar is included among the top collaborators of Ciprian M. Crainiceanu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ciprian M. Crainiceanu. Ciprian M. Crainiceanu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 9
4 3
5 14
6 8
7 58
8 22
9 7
10 30
11 49
12 7
13 36
14 88
15 29
16 69
17 34
18 35
19
Bayesian Analysis for Penalized Spline Regression Using Win BUGS
26
20
RESTRICTED LIKELIHOOD RATIO TESTS IN NONPARAMETRIC LONGITUDINAL MODELS
27

About Ciprian M. Crainiceanu

Ciprian M. Crainiceanu is a scholar working on Statistics and Probability, Computational Mathematics and Physical Therapy, Sports Therapy and Rehabilitation, having authored 218 papers that have together received 10.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (45 papers), Multiple Sclerosis Research Studies (28 papers) and Physical Activity and Health (25 papers). The work is most often cited by research in Statistics and Probability (2.7k citations), Computational Mathematics (74 citations) and Ophthalmology (930 citations). Ciprian M. Crainiceanu has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David Ruppert, Raymond J. Carroll, Leonard A. Stefanski, Brian Caffo, Daniel S. Reich, Naresh M. Punjabi, Jeff Goldsmith, Ana Navas‐Acién, Eliseo Güallar and Peter A. Calabresi. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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